most citedONNX-to-Hardware Design Flow for Adaptive Neural-Network Inference on FPGAs

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AR2024★ 1 cited

ONNX-to-Hardware Design Flow for Adaptive Neural-Network Inference on FPGAs

Federico Manca, Francesco Ratto, Francesca Palumbo

The challenges involved in executing neural networks (NNs) at the edge include providing diversity, flexibility, and sustainability. That implies, for instance, supporting evolving…

cs.AR2023

ONNX-to-Hardware Design Flow for the Generation of Adaptive Neural-Network Accelerators on FPGAs

Federico Manca, Francesco Ratto

Neural Networks (NN) provide a solid and reliable way of executing different types of applications, ranging from speech recognition to medical diagnosis, speeding up onerous and lo…